• Journal of Christian Education in Korea
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• v.67
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• pp.195-227
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• 2021

In a situation where it is difficult to plan face-to-face worship or assembly-type evangelism due to the continuation of the corona pandemic, it seems that evangelism is not a way to present the gospel, but to strengthen the gospel life. This is the era of evangelism as a spiritual care where the church can comfort those who are struggling and share the gospel naturally by accompanying them, and the time has come to set and practice various ministry directions that combine Christian education and counseling. At this time, this paper aims to analyze not only in the area of counseling, but also studies and papers on professional ministry through a convergence and complex approach between Christian education and counseling. This study focused on the papers on practical trials and cases. The research contents to be dealt with include the concept and understanding of counseling in Christian education, the application of counseling as various Christian education methods, and the development of programs necessary for the field. In addition, the purpose of this study is to analyze what kind of trend characteristics the subjects developed in advance show, what kind of trend characteristics research methodologies were used in the preceding studies, and what are the issues and tasks of Christian education and counseling based on the subject and method analysis. This study aims to analyze various influences on Korean society by meta-analyzing the discourse and issues of Christian education and counseling developed in the field of Christian education in Korea and suggest the convergence and direction of counseling in the field of Christian education in the future. First, many studies should be conducted to lay a systematic and clearer theoretical foundation for the convergence and complex approach of Christian education and counseling. Second, various studies on the understanding and psychological evaluation of learners based on psychology should be conducted. Finally, research on various counseling techniques should be conducted in Christian education counseling, and in particular, various studies on the application and practice of Christian education counseling using basic counseling theory should be conducted. The author also hope that studies on effectiveness verification based on utilization cases will be actively carried out to develop counseling programs that can help our neighbors who are struggling during the coronavirus era and provide direction for Christian education counseling.

• Journal of Intelligence and Information Systems
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• v.25 no.3
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• pp.63-88
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• 2019

The goal of this paper is to investigate changes in North Korea's domestic and foreign policies through automated text analysis over North Korea represented in South Korean mass media. Based on that data, we then analyze the status of text mining research, using a text mining technique to find the topics, methods, and trends of text mining research. We also investigate the characteristics and method of analysis of the text mining techniques, confirmed by analysis of the data. In this study, R program was used to apply the text mining technique. R program is free software for statistical computing and graphics. Also, Text mining methods allow to highlight the most frequently used keywords in a paragraph of texts. One can create a word cloud, also referred as text cloud or tag cloud. This study proposes a procedure to find meaningful tendencies based on a combination of word cloud, and co-occurrence networks. This study aims to more objectively explore the images of North Korea represented in South Korean newspapers by quantitatively reviewing the patterns of language use related to North Korea from 2016. 11. 1 to 2019. 5. 23 newspaper big data. In this study, we divided into three periods considering recent inter - Korean relations. Before January 1, 2018, it was set as a Before Phase of Peace Building. From January 1, 2018 to February 24, 2019, we have set up a Peace Building Phase. The New Year's message of Kim Jong-un and the Olympics of Pyeong Chang formed an atmosphere of peace on the Korean peninsula. After the Hanoi Pease summit, the third period was the silence of the relationship between North Korea and the United States. Therefore, it was called Depression Phase of Peace Building. This study analyzes news articles related to North Korea of the Korea Press Foundation database(www.bigkinds.or.kr) through text mining, to investigate characteristics of the Kim Jong-un regime's South Korea policy and unification discourse. The main results of this study show that trends in the North Korean national policy agenda can be discovered based on clustering and visualization algorithms. In particular, it examines the changes in the international circumstances, domestic conflicts, the living conditions of North Korea, the South's Aid project for the North, the conflicts of the two Koreas, North Korean nuclear issue, and the North Korean refugee problem through the co-occurrence word analysis. It also offers an analysis of South Korean mentality toward North Korea in terms of the semantic prosody. In the Before Phase of Peace Building, the results of the analysis showed the order of 'Missiles', 'North Korea Nuclear', 'Diplomacy', 'Unification', and ' South-North Korean'. The results of Peace Building Phase are extracted the order of 'Panmunjom', 'Unification', 'North Korea Nuclear', 'Diplomacy', and 'Military'. The results of Depression Phase of Peace Building derived the order of 'North Korea Nuclear', 'North and South Korea', 'Missile', 'State Department', and 'International'. There are 16 words adopted in all three periods. The order is as follows: 'missile', 'North Korea Nuclear', 'Diplomacy', 'Unification', 'North and South Korea', 'Military', 'Kaesong Industrial Complex', 'Defense', 'Sanctions', 'Denuclearization', 'Peace', 'Exchange and Cooperation', and 'South Korea'. We expect that the results of this study will contribute to analyze the trends of news content of North Korea associated with North Korea's provocations. And future research on North Korean trends will be conducted based on the results of this study. We will continue to study the model development for North Korea risk measurement that can anticipate and respond to North Korea's behavior in advance. We expect that the text mining analysis method and the scientific data analysis technique will be applied to North Korea and unification research field. Through these academic studies, I hope to see a lot of studies that make important contributions to the nation.

• Journal of the Daesoon Academy of Sciences
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• v.35
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• pp.39-71
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• 2020

Ever since gaining liberation in 1945, Korean society has constantly recalled memories of Japan's invasion and Korea's anti-Japanese movements for an independent state (AMIS). In the process, a small number of new religious groups were also identified as main subjects within AMIS. However, the logic necessary to connect these religious groups with AMIS was still weak. In order to solve this situation academically, the purpose of this article is to illuminate the activities of Mugeukdo (無極道) and Jo Jeongsan (趙鼎山) through the lens of AMIS and to reflect on the issues that will arise when linking the religion with AMIS. Regarding this purpose, this article analyzed the internal and external data collected by Daesoon Jinrihoe (大巡眞理會) about Jo Jeongsan and Mugeukdo's activities linked to AMIS. Later, this paper presents several tasks for future research on this subject matter. Specifically, according to Chapter II, the AMIS of Jo Jeongsan and Mugeukdo were generally centered on resistance at the family level, Jo Jeongsan's order to participate in the March 1st Movement, and Mugeukdo's industrial activities. In Chapter III, I reviewed the contents of Chapter II using Daesoon Jinrihoe's external materials. According to the results of the review, future research is required to discover and cross-check materials related to the AMIS of Jo Jeongsan and Mugeukdo believers. Likewise, further research is needed to highlight the theory of the enthronement of emperor (天子登極說) and the Great Opening of the later world (後天開闢) in terms of AMIS. These efforts can make contributions that increase the credibility of Daesoon Jinrihoe's internal data on the AMIS of Jo Jeongsan and Mugeukdo and expand the periphery of AMIS as it relates to certain religious groups. Subsequently, in Chapter IV, I present three items for reflecting upon the connection between certain religious groups and AMIS. The first is that criteria for establishing the category of AMIS is necessary to determine whether religious activities can be included. Second, reductionist approaches make it difficult to explain the reasons why some of the people who participated in AMIS did so while forming 'new religious movements,' and why these groups have maintained their religious identity even after liberation was achieved in 1945. Third, it is necessary to distinguish between the primary and the secondary dimensions to elaborate on the connection between these religions and AMIS. This means that researchers should be expected to look at whether the activities in question are based on a religious worldview and whether the goal of the activities is the realization of AMIS or the implementation of some aspect of that religious worldview. In the future, considering the mechanisms that make AMIS memorable in Korea, religious groups and religious studies should take greater interest in discovering and accumulating data that facilitates research on these topics. At the same time, effort should be made to find the basis for AMIS within religious worldviews. It can also be made possible through specific interest in further elaboration on the various AMIS-related activities of Jo Jeongsan and Mugeukdo.

• Journal of Intelligence and Information Systems
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• v.19 no.3
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• pp.141-156
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• 2013

Social media is a representative form of the Web 2.0 that shapes the change of a user's information behavior by allowing users to produce their own contents without any expert skills. In particular, as a new communication medium, it has a profound impact on the social change by enabling users to communicate with the masses and acquaintances their opinions and thoughts. Social media data plays a significant role in an emerging Big Data arena. A variety of research areas such as social network analysis, opinion mining, and so on, therefore, have paid attention to discover meaningful information from vast amounts of data buried in social media. Social media has recently become main foci to the field of Information Retrieval and Text Mining because not only it produces massive unstructured textual data in real-time but also it serves as an influential channel for opinion leading. But most of the previous studies have adopted broad-brush and limited approaches. These approaches have made it difficult to find and analyze new information. To overcome these limitations, we developed a real-time Twitter trend mining system to capture the trend in real-time processing big stream datasets of Twitter. The system offers the functions of term co-occurrence retrieval, visualization of Twitter users by query, similarity calculation between two users, topic modeling to keep track of changes of topical trend, and mention-based user network analysis. In addition, we conducted a case study on the 2012 Korean presidential election. We collected 1,737,969 tweets which contain candidates' name and election on Twitter in Korea (http://www.twitter.com/) for one month in 2012 (October 1 to October 31). The case study shows that the system provides useful information and detects the trend of society effectively. The system also retrieves the list of terms co-occurred by given query terms. We compare the results of term co-occurrence retrieval by giving influential candidates' name, 'Geun Hae Park', 'Jae In Moon', and 'Chul Su Ahn' as query terms. General terms which are related to presidential election such as 'Presidential Election', 'Proclamation in Support', Public opinion poll' appear frequently. Also the results show specific terms that differentiate each candidate's feature such as 'Park Jung Hee' and 'Yuk Young Su' from the query 'Guen Hae Park', 'a single candidacy agreement' and 'Time of voting extension' from the query 'Jae In Moon' and 'a single candidacy agreement' and 'down contract' from the query 'Chul Su Ahn'. Our system not only extracts 10 topics along with related terms but also shows topics' dynamic changes over time by employing the multinomial Latent Dirichlet Allocation technique. Each topic can show one of two types of patterns-Rising tendency and Falling tendencydepending on the change of the probability distribution. To determine the relationship between topic trends in Twitter and social issues in the real world, we compare topic trends with related news articles. We are able to identify that Twitter can track the issue faster than the other media, newspapers. The user network in Twitter is different from those of other social media because of distinctive characteristics of making relationships in Twitter. Twitter users can make their relationships by exchanging mentions. We visualize and analyze mention based networks of 136,754 users. We put three candidates' name as query terms-Geun Hae Park', 'Jae In Moon', and 'Chul Su Ahn'. The results show that Twitter users mention all candidates' name regardless of their political tendencies. This case study discloses that Twitter could be an effective tool to detect and predict dynamic changes of social issues, and mention-based user networks could show different aspects of user behavior as a unique network that is uniquely found in Twitter.

• Journal of Korean Society of Archives and Records Management
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• v.2 no.2
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• pp.1-38
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• 2002

This study examines the status quo of Korean archives and records management from the Governmental as well as professional activities for the development of the field in relation to the new legislation on records management. Among many concerns, this study primarily explores the following four perspectives: 1) the Government Archives and Records Services; 2) the Korean Association of Archives; 3) the Korean Society of Archives and Records Management; 4) the Journal of Korean Society of Archives and Records Management. One of the primary tasks of the is to build the special depository within which the Presidential Library should be located. As a result, the position of the GARS can be elevated and directed by an official at the level of vice-minister right under a president as a governmental representative of managing the public records. In this manner, GARS can sustain its independency and take custody of public records across government agencies. made efforts in regard to the preservation of paper records, the preservation of digital resources in new media formats, facilities and equipments, education of archivists and continuing, training of practitioners, and policy-making of records preservation. For further development, academia and corporate should cooperate continuously to face with the current problems. has held three international conferences to date. The topics of conferences include respectively: 1) records management and archival education of Korea, Japan, and China; 2) knowledge management and metadata for the fulfillment of archives and information science; and 3) electronic records management and preservation with the understanding of ongoing archival research in the States, Europe, and Asia. The Society continues to play a leading role in both of theory and practice for the development of archival science in Korea. It should also suggest an educational model of archival curricula that fits into the Korean context. The Journals of Records Management & Archives Society of Korea have been published on the six major topics to date. Findings suggest that "Special Archives" on regional or topical collections are desirable because it can house subject holdings on specialty or particular figures in that region. In addition, archival education at the undergraduate level is more desirable for Korean situations where practitioners are strongly needed and professionals with master degrees go to manager positions. Departments of Library and Information Science in universities, therefore, are needed to open archival science major or track at the undergraduate level in order to meet current market demands. The qualification of professional archivists should be moderate as well.

• Journal of the Korean Institute of Landscape Architecture
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• v.51 no.3
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• pp.70-82
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• 2023

The recent surge of IT and data acquisition is shifting the paradigm in all aspects of life, and these advances are also affecting academic fields. Research topics and methods are being improved through academic exchange and connections. In particular, data-based research methods are employed in various academic fields, including landscape architecture, where continuous research is needed. Therefore, this study aims to investigate the possibility of developing a landscape preference evaluation and prediction model using machine learning, a branch of Artificial Intelligence, reflecting the current situation. To achieve the goal of this study, machine learning techniques were applied to the landscaping field to build a landscape preference evaluation and prediction model to verify the simulation accuracy of the model. For this, wind power facility landscape images, recently attracting attention as a renewable energy source, were selected as the research objects. For analysis, images of the wind power facility landscapes were collected using web crawling techniques, and an analysis dataset was built. Orange version 3.33, a program from the University of Ljubljana was used for machine learning analysis to derive a prediction model with excellent performance. IA model that integrates the evaluation criteria of machine learning and a separate model structure for the evaluation criteria were used to generate a model using kNN, SVM, Random Forest, Logistic Regression, and Neural Network algorithms suitable for machine learning classification models. The performance evaluation of the generated models was conducted to derive the most suitable prediction model. The prediction model derived in this study separately evaluates three evaluation criteria, including classification by type of landscape, classification by distance between landscape and target, and classification by preference, and then synthesizes and predicts results. As a result of the study, a prediction model with a high accuracy of 0.986 for the evaluation criterion according to the type of landscape, 0.973 for the evaluation criterion according to the distance, and 0.952 for the evaluation criterion according to the preference was developed, and it can be seen that the verification process through the evaluation of data prediction results exceeds the required performance value of the model. As an experimental attempt to investigate the possibility of developing a prediction model using machine learning in landscape-related research, this study was able to confirm the possibility of creating a high-performance prediction model by building a data set through the collection and refinement of image data and subsequently utilizing it in landscape-related research fields. Based on the results, implications, and limitations of this study, it is believed that it is possible to develop various types of landscape prediction models, including wind power facility natural, and cultural landscapes. Machine learning techniques can be more useful and valuable in the field of landscape architecture by exploring and applying research methods appropriate to the topic, reducing the time of data classification through the study of a model that classifies images according to landscape types or analyzing the importance of landscape planning factors through the analysis of landscape prediction factors using machine learning.

• Korean Journal of Heritage: History & Science
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• v.57 no.1
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• pp.54-79
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• 2024

The purpose of this research is to fill the vacuum created by the tendency of bias towards China among the curators of Korean museums who plan exhibitions focusing on Balhae, and to share with researchers in the countries concerned various supplementary research materials that could deepen their understanding of the history of Balhae. These materials are based on analyses of the details of exhibitions about Balhae held in a particular Russian museum and the characteristics of and changes in the museum's operational policy. Thus, this research focuses mainly on the permanent and special exhibitions held by the Far East History Museum and Reserve, whose collection represents the archaeological achievements of Russia regarding the history of Balhae. The first part of the research focuses on the layout of the exhibitions presented by the museum and the museum's operational policy. It reveals that the museum's permanent exhibitions follow a diachronic arrangement of the local history, while the first and second special exhibitions featured exhibits that were selected from the collections of the Russian Academy of Sciences and arranged according to specific themes. It also examines the museum's policy for operating the exhibitions, focusing on the operational rules, the human resources deployed to run them, and the related educational and PR programs. The second part of the research examines such issues as local politics, economy, education and culture related to the exhibitions on Balhae's history, and connects them to the background and development of the exhibitions. This study reveals that the permanent exhibitions were intended to promote historical awareness of the local area by museum visitors, particularly those who visited the exhibitions while the city was hosting important events such as international summits. It also reveals that the museum's first special exhibition led to the promotion of Korea-Russia cooperation on exchanges in the fields of culture and tourism, whereas the second special exhibition involved no PR efforts or related events, which was probably due to the changes that have occurred in the relationship between Russia and its neighboring countries since then. The final part of the study focuses on the characteristic features of the exhibition narratives, and compares school textbooks on local history and history books for general readers with the contents of the exhibitions. The analysis of the narratives based on the development of time shows that the history of the Mohe (or Malgal) tribes has been combined with that of Balhae, while they are treated separately in school textbooks. As regards political history, the narrative was largely focused on officials in Balhae's central government rather than on Mohe warriors in the border areas. The maps of Balhae presented in the exhibitions highlight the importance of accumulating empirical data. As for the exhibition of material cultures, this study suggests that the museums should obtain more archaeological floral and faunal remains related with agriculture and hunting. It also points out that the narrative on the theme of foreign relations deals with the archaeological relics of Unified Silla together with those of the Turkic tribes. As for the theme of philosophy and culture, the narrative focused on the state ceremonies and rituals of Goguryeo, a theme that has attracted little attention among Korean academic circles and which consequently requires further study. In conclusion, this study is meaningful in that it suggests a number of research topics regarding the development of exhibitions and exhibition narratives about the history of Balhae by a prestigious Russian museum that specializes in this subject.

• The Journal of Korean Academy of Prosthodontics
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• v.49 no.3
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• pp.229-235
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• 2011

Purpose: The aim of this study was to evaluate the current status of dental geriatric education in Korea. Materials and methods: One of the faculty members related in geriatric education was selected in each Korean dental school and the questionnaire on geriatric dental education was sent to them by e-mail. The questionnaire consists of the topics about undergraduate geriatric education and administration of the geriatric education. The information obtained from the questionnaire was compared with that of other countries in the aspects of curriculum, teaching methods, subjects, and existence of specific clinics, etc. Results: Seven schools have geriatric dentistry in undergraduate education curriculum. Among those, only two schools had it taught by theoretical lecture as well as clinical lecture. Two dental schools had specific geriatric clinic among seven dental schools. Compared with the USA and western European countries, the geriatric dental education in Korea is at a developing stage and was perfunctory without diverse clinical experience. Conclusion: In Korean dental schools, geriatric education was mostly conducted by lectures, and clinical teaching programs were not well organized compared with developed countries. It seems that the status of geriatric dental education in Korea has not been well established academically or administratively yet.

• Journal of the Korean Applied Science and Technology
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• v.37 no.3
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• pp.564-570
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• 2020

The purpose of this study is to examine the preceding studies and suggest alternatives to establish the role and value of martial arts sports as a leisure activity. To achieve the purpose of this study, the keywords and themes of leisure-related journals were extracted and the articles and current status of martial arts-related journals in Korea were derived using SPSS descriptive statistics method. The subjects of the analysis were 'mudo' and 'leisure' of leisure-related journals between 2005 and 2017, and an interpretative textual analysis was conducted to analyze the contents of individual studies. According to the results of the survey on the actual condition of participation in the 2016 National Sports for all, Taekwondo was ranked 5th among the top 5 sports with 6.1% of the sports for all, and Taekwondo and Kendo were ranked 1st and 2nd respectively in the sports for all students and the clubs that they want to join in the future. Second, the study on martial arts in the journals related to leisure was found most in 2006 and 2010, but only one study was not conducted after 2014, which confirmed that the absolute number of studies was very insufficient. Third, the research themes of the journals related to leisure were serious leisure, female college students, physical self-concept, social development, leisure recreation class, job satisfaction, life satisfaction, training, leisure constraints, etc., and the study of martial arts related to leisure was found to require quantitative and qualitative multilateral approaches. Fourth, in the current status of dance related studies by year in domestic journals, two of 23 studies in 2007 were conducted on leisure topics, and the average number of studies related to domestic martial arts and leisure related papers was 5.65%, which is very low. In conclusion, as a result of analyzing the trend of research on leisure as a martial arts sport, it is necessary to suggest the direction of future research that can reconsider the role and value of martial arts sport as a leisure activity that can improve the quality of life and happiness in future society through quantitative and qualitative improvement.

• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.139-153
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• 2017

Corporate bankruptcy can cause great losses not only to stakeholders but also to many related sectors in society. Through the economic crises, bankruptcy have increased and bankruptcy prediction models have become more and more important. Therefore, corporate bankruptcy has been regarded as one of the major topics of research in business management. Also, many studies in the industry are in progress and important. Previous studies attempted to utilize various methodologies to improve the bankruptcy prediction accuracy and to resolve the overfitting problem, such as Multivariate Discriminant Analysis (MDA), Generalized Linear Model (GLM). These methods are based on statistics. Recently, researchers have used machine learning methodologies such as Support Vector Machine (SVM), Artificial Neural Network (ANN). Furthermore, fuzzy theory and genetic algorithms were used. Because of this change, many of bankruptcy models are developed. Also, performance has been improved. In general, the company's financial and accounting information will change over time. Likewise, the market situation also changes, so there are many difficulties in predicting bankruptcy only with information at a certain point in time. However, even though traditional research has problems that don't take into account the time effect, dynamic model has not been studied much. When we ignore the time effect, we get the biased results. So the static model may not be suitable for predicting bankruptcy. Thus, using the dynamic model, there is a possibility that bankruptcy prediction model is improved. In this paper, we propose RNN (Recurrent Neural Network) which is one of the deep learning methodologies. The RNN learns time series data and the performance is known to be good. Prior to experiment, we selected non-financial firms listed on the KOSPI, KOSDAQ and KONEX markets from 2010 to 2016 for the estimation of the bankruptcy prediction model and the comparison of forecasting performance. In order to prevent a mistake of predicting bankruptcy by using the financial information already reflected in the deterioration of the financial condition of the company, the financial information was collected with a lag of two years, and the default period was defined from January to December of the year. Then we defined the bankruptcy. The bankruptcy we defined is the abolition of the listing due to sluggish earnings. We confirmed abolition of the list at KIND that is corporate stock information website. Then we selected variables at previous papers. The first set of variables are Z-score variables. These variables have become traditional variables in predicting bankruptcy. The second set of variables are dynamic variable set. Finally we selected 240 normal companies and 226 bankrupt companies at the first variable set. Likewise, we selected 229 normal companies and 226 bankrupt companies at the second variable set. We created a model that reflects dynamic changes in time-series financial data and by comparing the suggested model with the analysis of existing bankruptcy predictive models, we found that the suggested model could help to improve the accuracy of bankruptcy predictions. We used financial data in KIS Value (Financial database) and selected Multivariate Discriminant Analysis (MDA), Generalized Linear Model called logistic regression (GLM), Support Vector Machine (SVM), Artificial Neural Network (ANN) model as benchmark. The result of the experiment proved that RNN's performance was better than comparative model. The accuracy of RNN was high in both sets of variables and the Area Under the Curve (AUC) value was also high. Also when we saw the hit-ratio table, the ratio of RNNs that predicted a poor company to be bankrupt was higher than that of other comparative models. However the limitation of this paper is that an overfitting problem occurs during RNN learning. But we expect to be able to solve the overfitting problem by selecting more learning data and appropriate variables. From these result, it is expected that this research will contribute to the development of a bankruptcy prediction by proposing a new dynamic model.